GrowDoc is a mobile app company utilizing artificial intelligence (AI) systems for rapid identification of causes of unhealthy cannabis plants. Whether a plant is wilting or showing symptoms on the leaves, the New Brunswick-based company wants its products to be able to determine the cause and tell the user what needs to be done to fix it.
In order to develop the GrowDoc mobile application, the Agriculture & Environmental Technologies Innovation Centre (AETIC) supported a course-based project led by Bill MacDonald, course coordinator for the Commercial Cannabis Production Program at Niagara College. The research team, which included students from the Cannabis Production Science course, along with technologist Laurie Zuber, and technician Stanley Leggett, determined that photo and video documentation of common nutrient deficiencies would be required to help elevate the usability of the app.
To produce these images, nutrient deficiency studies were conducted in a controlled environment (the CannaBunker), while documenting the procedures to allow these studies to be replicated in the future. During the course of one term, the team conducted growing trials, removing only one nutrient at a time – either nitrogen, phosphorus or potassium – from the nutrient solution, and then observing and documenting how the cannabis plant reacted. Visual changes in the plant were documented using photos and video on a weekly basis. The images and videos collected will allow GrowDoc to improve their application AI accuracy and therefore create an improved product.